tiered-ImageNet [1]} is a larger subset of ImageNet with 351-97-160 categories for training-validation-testing, respectively.
Like tiered meta-iNat, tiered-ImageNet ensures larger domain differences between training and evaluation compared to mini-ImageNet. Most works [2]}, [3]}, [4]} use images from [1]}https://github.com/renmengye/few-shot-ssl-public or [6]}https://github.com/kjunelee/MetaOptNet, which have 84\(\times \) 84 resolution. DeepEMD [7]}'s implementationhttps://github.com/icoz69/DeepEMD has 224\(\times \) 224 instead. For fair comparison, we experiment on both settings.
